摘要
针对电锅炉温度控制系统常规PID控制性能欠佳的问题,提出一种PID参数整定的改进算法。先用RBF网络在线辨识温度采样信息,得到控制器所需的Jacobian信息,然后用LM算法代替传统的梯度法整定PID参数,得到改进的PID算法。通过电锅炉温度控制系统仿真分析,验证了算法的快速性、抗扰性、鲁棒性,具有较好的应用前景。
In view of the fact that the performance of any conventional PID control can＇t meet the requiremnt an electric boiler temperature control system, this paper puts forward a kind of improved algorithm for tuning the PID parameters. The RBF network is used to perform the on - line identification of the mathmatie model of a controlled plant, which can provide the Jacobian information for the System controller. The Levenberg - Marquardt algorithm is used to tune the parameters of the PID controller instead of the conventional gradient descent tuning method. The system simulation has proved that the improved algorithm is fast, anti -jamming and robust.
出处
《工业仪表与自动化装置》
2009年第1期85-87,100,共4页
Industrial Instrumentation & Automation
基金
黑龙江科技学院科研启动基金资助项目(07-15)
